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Analysing the Impact of ENERGY STAR Rebate Policies in the US

Author

Listed:
  • Souvik Datta

    (Centre for Energy Policy and Economics (CEPE), Department of Management, Technology and Economics, ETH Zurich)

  • Massimo Filippini

    (Centre for Energy Policy and Economics (CEPE), Department of Management, Technology and Economics, ETH Zurich and Department of Economics, University of Lugano, Switzerland)

Abstract

In this paper we estimate the impact of rebate policies in various US states on the share of sales of ENERGY STAR household appliances between 2001 and 2006. We use a difference-in-difference approach to exploit the variation in the rebate policies over time and across US states to estimate their effect on the share of sales of ENERGY STAR household appliances. To account for the possibility of an endogenous rebate policy we use an instrumental variables approach in a fixed effects panel data regression model. Results suggest that rebate policies increase the share of sales of ENERGY STAR household appliances by around 7.4% and this represents an impact of around 21% on the mean level of the share of sales of ENERGY STAR household appliances in the US between 2001 and 2006.

Suggested Citation

  • Souvik Datta & Massimo Filippini, 2012. "Analysing the Impact of ENERGY STAR Rebate Policies in the US," CEPE Working paper series 12-86, CEPE Center for Energy Policy and Economics, ETH Zurich.
    • Handle: RePEc:cee:wpcepe:12-86
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    References listed on IDEAS

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    Cited by:

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    2. Alasseri, Rajeev & Tripathi, Ashish & Joji Rao, T. & Sreekanth, K.J., 2017. "A review on implementation strategies for demand side management (DSM) in Kuwait through incentive-based demand response programs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 617-635.
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    4. Cabeza, Luisa F. & Ürge-Vorsatz, Diana & Ürge, Daniel & Palacios, Anabel & Barreneche, Camila, 2018. "Household appliances penetration and ownership trends in residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 1-8.
    5. Henningsen, Geraldine & Wiese, Catharina, 2019. "Do Household Characteristics Really Matter? A Meta-Analysis on the Determinants of Households’ Energy-Efficiency Investments," MPRA Paper 101701, University Library of Munich, Germany.
    6. Benjamin Volland, 2016. "Efficiency in Domestic Space Heating: An Estimation of the Direct Rebound Effect for Domestic Heating in the U.S," IRENE Working Papers 16-01, IRENE Institute of Economic Research.
    7. Massimo Filippini & Lin Zhang, 2019. "Impacts of heat metering and efficiency retrofit policy on residential energy consumption in China," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(2), pages 203-216, April.
    8. Charu Grover & Sangeeta Bansal & Adan L. Martinez-Cruz, "undated". "Influence of Social Network Effect and Incentive on Choice of Star Labeled Cars in India: A Latent Class Approach based on Choice Experiment," Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi Discussion Papers 18-05, Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi, India.
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    Keywords

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    JEL classification:

    • D - Microeconomics
    • D1 - Microeconomics - - Household Behavior
    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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